文献
J-GLOBAL ID:201702254149938800
整理番号:17A0056317
に埋め込まれた板に及ぼす深い残留ネットワークを用いた物体検出器の最適化【Powered by NICT】
Optimization for object detector using deep residual network on embedded board
著者 (5件):
Lee Youngwan
(Computer Vision Laboratory Graduate School of Information and Communication Engineering, Inha University, Incheon, Korea)
,
Kim Huien
(Computer Vision Laboratory Graduate School of Information and Communication Engineering, Inha University, Incheon, Korea)
,
Park Eunsoo
(Computer Vision Laboratory Graduate School of Information and Communication Engineering, Inha University, Incheon, Korea)
,
Yim Byeonghak
(Computer Vision Laboratory Graduate School of Information and Communication Engineering, Inha University, Incheon, Korea)
,
Kim Hakil
(Computer Vision Laboratory Graduate School of Information and Communication Engineering, Inha University, Incheon, Korea)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICCE-Asia
ページ:
1-4
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)